In view of the problems that successful efficiency of de-interleaving is low under conditions of signal-to-noise ratio being low and relative delay being low for Automatic Dependent Surveillance-Broad cast signals,this paper proposes a method of ADS-B signal de-interweaving based on VMD-SSA-ICA.Firstly,the interleaved signals are decomposed by the Variable Mode Decomposition (VMD).Secondly,the sin gular spectrum analysis (SSA) is adopted to reconstruct the modes,eliminate mode aliasing,effectively analyzing the potential structure of the ADS-B signal.Thirdly,the Independent Component Analysis algorithm is used to perform de-interleaving.Lastly,the Dn-CNN neural network is used to denoise the output signal,achieving the integration of signal separation and denoising.The experimental results show that this method achieves signal decoding in a range of success rates from 60.92% to 99.94% respectively under condition of 8 to 15 dB signal-to-noise ratios.The experiments on the relative delay of different signals show that the algorithm maintains stable de-interleaving performance even with a relative delay of 0 to 10 ms.The method significantly improves the robustness and anti-interference ability of ADS-B signal de-interleaving algorithm.